Xiaoyong Wei is a visiting professor of the Department of Computing, The Hong Kong Polytechnic University. He has been a professor and the head of the Department of Computer Science, Sichuan University, China since 2010. He received his Ph.D. in Computer Science from the City University of Hong Kong and has worked as a postdoctoral fellow in the University of California, Berkeley. His research interests include Multimedia Computing, Health Computing, Machine Learning, and Large-Scale Data Mining. He is a senior member of IEEE, and has served as an associate editor of Interdisciplinary Sciences: Computational Life Sciences since 2020, the program chair of ICMR 2019, ICIMCS 2012, and the technical committee member of over 20 conferences such as ICCV, CVPR, ACM MM, ICME, SIGKDD, and ICIP.
Xiaoyong has been dedicating to his firm belief of teaching--research harmony. Most of his research ideas were inspired by teaching in which his focus is to build advanced AI technology to address classroom challenges. His work “Mining In-Class Social Networks for Large-Scale Pedagogical Analysis” has been considered as the first one to tackle in-school social networks (distinct from existing work using social media for after-school networks). His work of using drone patrol to analyze the students’ boredom level and teacher-student interactions has attracted extensive attention worldwide and been reported by mass media including BBC, The Telegraph, and CCTV. He has received the Pineapple Science Prize awarded by Dan Shechtman (Israel materials scientist and the Nobel Prize laureate), because these work while remaining as novel research, have also aroused the public enthusiasm for science.
Xiaoyong has recently initiated the Healthism project with Prof. Ramesh Jain of the University of California, Irvine. Healthism is an interdisciplinary project to tackle chronic diseases and significantly improve quality of life by going beyond the episodic health model developed for prevalent disease-centric-healthcare. Healthism focuses on physical and mental health to develop approaches for changing the way people adopt lifestyle for achieving best health to meet their desired goals.
Positions avaliable include
Desired Candidate Attributes
Compositional Inversion for Stable Diffusion Models, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
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@inproceedings{WXY_AAAI_2024, author={Xu-Lu Zhang, Xiao-Yong Wei, Jin-Lin Wu, Tian-Yi Zhang, Zhao-Xiang Zhang, Zhen Lei, Qing Li}, booktitle={The 38th Annual AAAI Conference on Artificial Intelligence}, title={Compositional Inversion for Stable Diffusion Models}, year={2024}}
Rethinking Multimodal Entity and Relation Extraction from a Translation Point of View, The 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023
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@inproceedings{WXY_ACL_2023, author={Changmeng Zheng, Junhao Feng, Yi Cai, Xiaoyong Wei, Qing Li}, booktitle={The 61st Annual Meeting of the Association for Computational Linguistics}, title={Rethinking Multimodal Entity and Relation Extraction from a Translation Point of View}, year={2023}}
Identifying The Kind Behind SMILES - Anatomical
Therapeutic Chemical Classification using Structure-Only Representations, Briefings in Bioinformatics, 2022
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@ARTICLE{WXY_ATC_2022, author={Yi Cao, Zhen-Qun Yang, Xu-Lu Zhang, Wenqi Fan, Yaowei Wang, Jiajun Shen, Dong-Qing Wei, Qing Li, Xiao-Yong Wei}, journal={Briefings in Bioinformatics}, title={Identifying The Kind Behind SMILES - Anatomical Therapeutic Chemical Classification using Structure-Only Representations}, year={2022}, volume={23}, number={5}, pages={bbac346}, doi={https://doi.org/10.1093/bib/bbac346}}
Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis, IEEE Transactions on Medical Imaging, 40 (7), 1898-1910, 2021
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@ARTICLE{WXY_DCL_TMI_2021, author={Wei, Xiao-Yong and Yang, Zhen-Qun and Zhang, Xu-Lu and Liao, Ga and Sheng, Ai-Lin and Zhou, S. Kevin and Wu, Yongkang and Du, Liang}, journal={IEEE Transactions on Medical Imaging}, title={Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis}, year={2021}, volume={40}, number={7}, pages={1898-1910}, doi={10.1109/TMI.2021.3068404}}
Cardiac Evidence Mining for Eating Monitoring using Collocative Electrocardiogram Imagining, TechRxiv, 2022
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@ARTICLE{WXY_ECG_2022, author={Zhang, Xulu and Yang, Zhenqun and Jiang, Dongmei and Liao, Ga and Li, Qing and Jain, Ramesh and Xiao-Yong Wei}, journal={TechRxiv}, title={Cardiac Evidence Mining for Eating Monitoring using Collocative Electrocardiogram Imagining}, year={2022}, doi={https://doi.org/10.36227/techrxiv.18093275.v2}}
M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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@inproceedings{WXY_CVPR_2022, author={Xiao Dong and Xunlin Zhan and Yangxin Wu and Yunchao Wei and Michael C. Kampffmeyer and Xiao-Yong Wei and Minlong Lu and Yaowei Wang and Xiaodan Liang}, booktitle={IEEE/CVF International Conference on Computer Vision and Pattern Recognition}, title={M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining}, year={2022}}
Attention on Attention for Image Captioning, IEEE/CVF International Conference on Computer Vision (ICCV), 2019
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@inproceedings{WXY_ICCV_2019, author={Lun Huang and Wenmin Wang and Jie Chen and Xiao-Yong Wei}, booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)}, title={Attention on attention for image captioning}, year={2022}}
Contextual Noise Reduction for Domain Adaptive Near-Duplicate Retrieval on Merchandize Images, IEEE Transactions on Image Processing, 26 (8), 3896-3910, 2017
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@ARTICLE{WXY_NDR_TIP_2017, author={Xiao-Yong Wei, Zhen-Qun Yang}, journal={IEEE Transactions on Image Processing}, title={Contextual Noise Reduction for Domain Adaptive Near-Duplicate Retrieval on Merchandize Images}, year={2017}, volume={26}, number={8}, pages={3896--3910} }
Coaching the Exploration and Exploitation in Active Learning for Interactive Video Retrieval, IEEE Transactions on Image Processing, 22 (3), 955-968, 2013
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@ARTICLE{WXY_CAL_TIP_2013, author={Xiao-Yong Wei, Zhen-Qun Yang}, journal={IEEE Transactions on Image Processing}, title={Coaching the exploration and exploitation in active learning for interactive video retrieval}, year={2013}, volume={22}, number={3}, pages={955--968} }
Mining In-class Social Networks for Large-scale Pedagogical Analysis, ACM International Conference on Multimedia, 2012
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@inproceedings{WXY_InClass_2012, author={Xiao-Yong Wei and Zhen-Qun Yang}, booktitle={ACM International Conference on Multimedia}, title={Mining In-class Social Networks for Large-scale Pedagogical Analysis}, year={2012}}
Concept-driven Multi-modality Fusion for Video Search, IEEE Transactions on Circuits and Systems for Video Technology, 21 (1), 62-73, 2011
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@ARTICLE{WXY_concept_2011, author={Xiao-Yong Wei, Yu-Gang Jiang, Chong-Wah Ngo}, journal={IEEE Transactions on Circuits and Systems for Video Technology}, title={Concept-driven Multi-modality Fusion for Video Search}, year={2011}, volume={21}, number={1}, pages={62-73} }
Ontology-enriched Semantic Space for Video Search, ACM International Conference on Multimedia, 2007
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@inproceedings{WXY_MM_07, author={Xiao-Yong Wei and Chong-Wah Ngo}, booktitle={ACM International Conference on Multimedia}, title={Ontology-enriched semantic space for video search}, year={2007}}
PQ829, Dept. of Computing, The Polytechnic University of Hong Kong